Enabling Grids for EsciencE

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Enabling Grids for E-sciencE

• Maria Poveda
• University of Cyprus
• Berlin, 04 December 2004

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Project

• Enabling Grids for E-SciencE
• Goal
• Create a Europe-wide production-quality
• Grid Infrastructure for e-Science
• on top of existing and future EU Research
  Networking Infrastructure.
• EGEE as a Service to deliver a working
  infrastructure

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Contractual Details

• 6th Framework Program Research Infrastructures
• Communication Network Development - Grids
• Instrument I3 (Integrated Infrastructure
  Initiative)
• Project start date 1st April 2004
• Duration 24 months
• EU financial contribution 31,867,000 Euro
• EGEE Consortium
• involves 71 leading institutions in 27 countries
• federated in regional Grids 12 Federations
• combined capacity of 2000 CPUs - largest
  international Grid infrastructure ever assembled
• Prediction of 4000 CPUs by the end of the project
  
• Estimated 600 FTEs to be deployed during the
  project

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EGEE Objectives

• To provide distributed European research
  communities with a common market of computing,
  offering round-the-clock access to major
  computing resources, independent of geographic
  location, building on the EU Research Network
  GÉANT and NRENs.
• EGEE will support common Grid computing needs,
  integrate the computing infrastructures of these
  communities and agree on common access policies.
• Complete re-engineering of the middleware, and by
  a pro-active program of outreach and training to
  attract and support the widest possible variety
  of scientific communities in the ERA.

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EGEE Applications

• Over the duration of the project the Grid
  Services will be expanded and taken to new
  communities
• EGEE Scope
• ALL-inclusive for academic applications (open to
  industrial and socio economic world)
• 5000 users (3000 after year 2) from at least 5
  disciplines
• Two pilot applications Physics Bioinformatics
• To guide the implementation and certify the
  performance functionality of the evolving
  infrastructure

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EGEE Implementation Areas

• The two pilot applications Physics
  Bioinformatics
• Particle Physics LHC Grid (LCG)
• where the computing model is based exclusively on
  a Grid infrastructure to store and analyze
  petabytes of data from experiments at CERN
• Biomedical Grids
• where several communities are facing equally
  daunting challenges to cope with the flood of
  bioinformatics and healthcare data (Health Grids
  association).

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Regionally Based Federations

• All work in EGEE will be organised on the basis
  of regionally based federations

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EGEE Activities

• Networking Activities (28)
• NA1 Management of the I3
• NA2 Dissemination and Outreach
• NA3 User Training and Induction
• NA4 Application Identification and Support
• NA5 Policy and International Cooperation
• Specific Service Activities (48)
• SA1 European grid Operations, Support and
  Management
• SA2 Network Resource Provision
• Research Activities (24)
• JRA1 Middleware Engineering and Integration
• JRA2 Quality Assurance
• JRA3 Security
• JRA4 Network Services Development

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My definition of a grid

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)

• A grid is
• distributed on distant sites with large bandwidth
  network connection,
• a large set of computing and storage resources
• operated by a common or interoperable
  middleware(s)
• providing a set of services allowing the
  deployment of large scale applications
• by communities of end users
• structured in virtual organizations

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EGEE biomedical sector

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)

• Goals
• To deploy biomedical applications on EGEE
  infrastructure
• To participate to the early testing of EGEE
  middleware
• To set up virtual organizations and to integrate
  new resources into the EGEE infrastructure
• To establish collaborations with (national,
  european, worldwide) biomedical projects for
  deployment on EGEE
• Partners
• CNRS (Lyon, Clermont-Ferrand) J. Montagnat
  (CREATIS)
• Universitad Politecnica de Valencia V. Hernandez
• CSIC (CNB Madrid) JM Carazo
• EC funding 760k for 2 years

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What EGEE offers to biomedical applications

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)

• Access to large-scale infrastructure
• Thousands of processors and 1/3 petabyte online
  data storage
• Production ready grid middleware
• More than 3 years of large-scale
  testing/deployment experience
• Grid expertise
• Small team of technically competent people ready
  to help applications get up and running
• Training

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The challenges of a healthcare grid

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)

• Goal allow every physician to access a reliable
  grid for his daily practice
• New actors hospitals, physicians, healthcare
  administrations
• Technical challenges
• Networking, User interface
• Grid quality of services (stability, scalability,
  security, privacy, )
• Legal/ethical issues obey the laws of
  International countries with respect to personal
  data ownership and data transfer
• Human challenge new approach to healthcare
  delivery
• Change the way in which doctors/healthcare
  administrations conceive health
• Grids are still very much in development and
  therefore user-unfriendly
• Training and support to healthcare professionals

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How to work with EGEE

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)

• 0 Review information provided on the EGEE website
  (www.eu-egee.org)
• 1 Establish contact with the EGEE applications
  group
• Johan Montagnat (Johan.Montagnat_at_CREATIS.INSA-LYON
  .FR)
• 2 Provide information by completing a
  questionnaire describing your application
• 3 Applications are selected for direct support
  based on scientific criteria, Grid added value,
  effort involved in deployment, resources
  consumed/contributed etc.
• 4 Follow a training session
• 5 Migrate application to EGEE infrastructure with
  the support of EGEE BMI technical experts
• 6 Initial deployment for testing purposes
• 7 Production usage
• Contribute computing resources for heavy
  production demands

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Conclusion

• We have a dream
• of a world where access to quality healthcare
  could be extended to the poorest eHealth for all
• Grids are the infrastructures to empower the
  vision
• Because it provides the mean to share resources,
  information and benefits at the minimal cost
• Provided an on-going public effort keeps
  developing open source technology
• After three years of pioneering work in Europe,
  biomedical applications of grids enter into a new
  era where societal issues can be addressed
• Breast cancer early diagnosis
• Rare disease (malaria, dengue, )
• There are more human challenges than technical
  challenges
• The key factor to successes are open source and
  worldwide collaboration you are welcome to join
  !

• Acknowledge slide V. Breton Y. Legre (NA4
  Biomedical App.)